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Senior Manager - Data Architect - Toronto [Ernst & Young]
Company | CareerBeacon |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Human Resources Services |
Expires | 2023-08-09 |
Posted at | 9 months ago |
At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
- Assist in the identification and recommendation of appropriate solutions, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership
- Support implementation processes in association with internal and external development teams. Participate in project-related activities.
- Lead discovery sessions with primary business stakeholders to obtain knowledge of business objectives, challenges, and requirements
- Stay current on emergent technologies relevant to supporting the data solutions delivered for customers
- Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate designs to stakeholder groups
- Lead and provide oversight into the design of end-to-end data solutions including data architecture, data integration, data modelling, security, privacy, regulatory, performance, data governance, business intelligence, etc. and to ensure alignment to the overall business needs
- Provide technical oversight and recommendations on data infrastructure (on-prem and Cloud)
- Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, standards, and best practices
- Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented
- Support solution delivery by providing insights to the application development teams and project managers that plan and execute delivery activities
- Create solution architecture documents that describe and explain solution attributes and associated benefits
- Strong analytical and decision-making skills.
- Demonstrated experience deploying data solutions in Big Data platforms (e.g., AWS, Azure, GCP, etc.).
- Strong Knowledge of ETL frameworks using Azure Data Factory and Databricks Notebooks.
- Strong understanding of data modeling (dimensional, data vault, etc.) principles and techniques based on established methodologies (e.g., Kimball).
- Strong knowledge of ETL tools such as Informatica, SSIS, Talend, DataStage, etc. as well as standards and best practices for ETL development
- 10+ years demonstrated experience in the design and implementation of modern data architectures to support large scale data solutions
- Bachelor's degree in Information Technology, Software Engineering, Computer Science, or related field. Related professional certifications and/or training is considered an asset.
- Strong knowledge in data warehousing concepts and data platforms (e.g., Snowflake, Databricks)
- Strong knowledge of Azure-based architecture and services such as RBAC, AAD, VM, ADLS, Azure DevOps, and Events hub.
- Expert knowledge of data patterns to support architectures and data management concepts/processes including ETL/ELT, Data Mesh, date lake, data lakehouse, data warehouse, data streaming, data virtualization, etc.
- Experience working within multidisciplinary, distributed, and collaborative environments.
- Strong knowledge of data governance framework principles and vendor platforms (e.g., Collibra, Informatica EDC/Axon)
- Knowledge of MDM concepts and solutions
- Proficient in building secure architecture using: Encryption, Azure key vault, Access control, Network security, and Advanced data security.
- Strong knowledge of SQL and demonstrated ability to apply SQL to a wide variety of business requirements.
- Experience with data manipulation and visualization tools such as Tableau, Power BI, etc.
- The freedom and flexibility to handle your role in a way that's right for you
- Support and coaching from some of the most engaging colleagues in the industry
- Learning opportunities to develop new skills and progress your career
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